「audio」の検索結果
85 件🤗 Transformersは、テキスト・ビジョン・音声など複雑なモデル定義をサポートするフレームワークで、インフェレンスターやトレーニングに使用できる。
mediapipeは、クロスプラットフォームでカスタマイズ可能なライブおよびストリーミングメディア向けのMLソリューションを提供している。
ユーザーの行動を認識し、オートエージェントを構築するためのツール。
オープンソースのAI推論最適化と展開用ツールキットです。
Unsloth Studioは、オープンモデルのトレーニングと実行を支援するWebUIです。このライブラリは、Gemma4、Qwen3.5などのオープンモデルのテストとトレーニングを支援するために使われます。
画像やビデオやオーディオディフュージョンモデルのファインチューニングを行うための、汎用的なファインチューニングキット。
Speech watermarking is becoming a key defense for digital copyright and content authentication. Existing attac
.diffusion モデルのライブラリ。画像・動画・音声生成に利用可能。
CVATは、機械学習用の業界標準のデータエンジンです。さまざまなスケールのチームが使用し、さまざまなスケールのデータに対応しています。
デベロッパー向けのモデロプティミゼーションフレームワークです。モデルの高速化と効率化を実現することができます。
統計チャートの生成は、タブラーのデータから生成することが難しい。新しい作成フローでは、データのスクリーン、プロット提案、コード生成、レンダリング、検証による改良が含まれる。
電気生理信号から表現を学習し、脳コンピューターインターフェースの開発を支援する。
この研究では、自然言語処理の負担を減らすモジュラリティを目指しています。モジュラリティとは、システムを小さくて独立した部分に分割して、それぞれを簡素化することです。この研究では、文脈に応じてモジュラリティを変更できるメカ
テキスト分析、センチメント分析や単語分割などを行えるライブラリ。
Multimodal language models continue to improve on broad music understanding benchmarks, but which musical feat
The shear piezoelectric coefficient $e_{15}$ governs the shear-mode electromechanical coupling in piezoelectri
**Purpose:** Ultrasound biometry is widely used across various clinical applications, including prenatal and c
Large-scale annotation of environmental sound recordings presents significant challenges under time and resour
Artificial Intelligence, and Machine Learning in general, is becoming pervasive across all domains and discipl
Recent works have observed implicit cross-modal alignment between independently trained unimodal models. Howev
The Musical Metaverse (MM) enables geographically distributed musicians, audiences, sound engineers, and AI ag
Healthcare information systems are fragmented, and retrieving data from legacy web portals is a recurrent need
Chain-of-Thought (CoT) generation has substantially improved the performance of Large Language Models (LLMs) o
Technology-mediated audience participation (TMAP) enables audiences to influence live performances, yet balanc
Respiratory sound classification from auscultation recordings is confounded by heterogeneous acquisition condi
Recent advancements in sign language processing can be attributed to developments in both large-scale dataset
Users convey frustration in what they say and in how they say it, and voice-native models, which hear speech i
Reinforcement learning (RL) elevates joint audio-video generation, but optimizing heterogeneous, modality-spec
We study the iterates of a fixed ReLU network $N$ of width 4, that is, the discrete-time system $x_{k+1} = N(x
ufakzeka-kulak is an open Turkish speech-to-text model of 31.6M parameters, a FastConformer encoder with a tok
We propose a simple, linguistically motivated approach to detecting AI-generated peer reviews based on the inh
Real-time omnimodal assistants are expected to support people in everyday life, but audiovisual understanding
Automated liver ultrasound report generation improves the diagnosis of liver diseases by producing clinically
Large language models are increasingly used as measurement instruments for socially consequential constructs s
Dialectal Arabic speech recognition remains constrained by the scarcity of dialect-resolved transcribed speech
Most benchmarks for real-time voice systems focus on one aspect, such as turn-taking, instruction following, p
Video dubbing aims to synthesize lip movements that match target speech while preserving the speaker identity,
Streaming digital humans produce detailed video while continuing speech as new text arrives. High-resolution d
AI-generated videos often depict people within detailed scenes while leaving their small facial regions poorly
Multimodal retrieval must integrate complementary evidence from views that may be missing, noisy, or unequally
Omni-modal large language models (Omni-LLMs) typically process large numbers of multimodal tokens from audio-v
Lip reading plays a crucial role in applications such as speech recognition, assistive technologies for the he
Wearable robot interfaces must connect user input to timely physical action. We present the proposed platform,
Purpose: Blended augmented reality (AR) overlays can provide ambiguous depth cues in which subsurface anatomy
Faster Whisper transcription with CTranslate2
Matcha-TTSは、高速で条件付き流のマッチングを実現するTTSアーキテクチャであり、話者の特徴を考慮する。
ModelScopeは、モデルをサービス化するためのプラットフォームです。モデルを作成し、ホスティングし、管理し、配信することができます。
We present HyVox, a hybrid neuromorphic--von Neumann system for low-energy open-set speaker identification und
Web communities rely on moderators to catch harmful messages such as insults, hate speech, and scams, but no o
Faced with an unanswerable question, small language models can either refuse or confabulate: confidently produ
Voice conversion (VC) models can be used to anonymize speech data while preserving naturalness. Existing model
This paper describes the development of a bio-inspired ornithopter wing mechanism that uses soft pneumatic act
Laser doppler vibrometer (LDV) scans can be used to detect defects and cracks in manufactured parts before the
Modern robot policies often perform expensive inference to generate action chunks, making serving a latency bo
We propose Prism, a dynamic sparse attention framework for natively training joint video-audio generation mode
Held-out validation loss is the standard offline signal for choosing checkpoints and comparing models, but its
Scaling humanoid motion foundation models is constrained by the scarcity of diverse, robot-executable data and
Reinforcement learning and game theory describe the same object from two sides. Game theory says what a ration
This paper presents TurnTurk-GPT, a text-based turn-taking predictor for Turkish obtained by fine-tuning a Tur
AI用のデータセットを提供するプラットフォームです。
Reconfigurable Intelligent Surfaces (RIS) are a promising solution for improving millimeter-wave (mmWave) comm
Video generation is shifting from end-to-end synthesis toward agentic generation, where planning, tool use, an
A capable voice assistant must do more than recognize words; it must understand requests, reason over context,
A voice agent's speech recognizer transcribes everyone near the microphone, including people other than the ca
Do research agents have taste, the judgment of which experiments are worth running before their outcomes are k
We present Youtu-Parsing-Omni, an omni-modal parser that converts documents, images, audio, and video into str
Music audio generation spans instrumental clips, full songs with vocals, edits of existing recordings, and sys
この研究では、重症看護病棟内の気流と光など環境要因が気性変化の予測に利用できるか検討した。その結果、日照時間と音圧レベルを考慮すると、気性変化の予測精度が向上した。
The short-time Fourier transform (STFT) characterizes the local frequency content of time-varying signals by e
Audio systems aim to maximise the listener's perceived quality, traditionally evaluated through mean opinion s
Evaluating human-AI co-design requires testing whether coding agents can translate real users' multimodal requ
Text injection trains speech recognition models on unpaired text alongside paired audio. We feed the speech en
Emotion-driven Style Controlを使用してテキストから声の変換が実行され、感情のあるテキストをエモタイザブルな声に変換することが可能になります。
Locating relevant evidence in long inputs is a core capability of Multimodal Large Language Models. Prior stud
Streaming audio-visual target speaker extraction (AVTSE) is essential for latency-sensitive applications. Howe
Spiking Neural Networks (SNNs) promise energy-efficient inference through sparse, event-driven computation, ye
Heuristic solvers for general-sum extensive-form games produce a stream of iterates, and practice reports the
Wunjo Make: Face Swap, Lip Sync, Control Remove Objects & Text & Background, Restyling, Audio Separator, Clone
We consider the problem of setting tolls on a subset of the arcs of a congested network so as to maximize the
Spoken Dialogue Models (SDMs) typically share a speech-token space for generation and synthesis, leading to lo
The ability to represent temporal information is often hypothesized to underlie the efficiency and learning ca
マルチラギングスピーチ生成やクリエイティブボイスデザイン、ルートライフクライミングなど、テクスチャファリーTTSの最新技術を実現するためのフレームワークです。
GUI for a Vocal Remover that uses Deep Neural Networks.
Aggregate accuracy cannot reveal which utterances are locally vulnerable or how internal activity changes when
A central aim of neuromorphic computing is to provide a viable alternative to highly energy-intensive Transfor